New Cybertruck Photos And Giga Press Shown Off By IDRA |

The ever-mysterious Tesla Cybertruck has recently been photogenic with numerous pictures of a driveable prototype interior along with snapshots of the anticipated 9,000-ton Giga Press that will cast new truck bodies.

While those with Cybertruck reservations have heard it before, we do appear one step closer to the eventual release of the Cybertruck.

Redditor u/IeZael recently posted details of his experiences during a tour of the IDRA Group’s facilities in Brescia, Italy.

IDRA, founded in 1946, has created some of the largest high-pressure die casting machines in the world. IDRA routinely hosts open houses to show off the latest die-casting machinery.

While Tesla is not the only customer of IDRA, it was pretty evident that the 9000t Giga Press is eventually destined for Tesla’s factory. The biggest giveaway? The color scheme of the device is identical to the Model Y’s Giga Press.

In addition, IDRA states that the machines “can be used for SUV and small trucks.” Elon Musk later confirmed that Tesla will continue to use IDRA’s presses, including the new 9,000-ton Giga Press for the Cybertruck’s body.

In addition to the open house photo montage, IDRA produced a fascinating video series detailing the assembly of the Giga Press.

What has garnered more attention this week for Cybertruck reservation holders is purported interior shots of a Cybertruck prototype. Released by KSBW, the photos show a rough prototype interior with a disassembled yoke.

Interestingly, the Cybertruck appearance was part of a press event for the PG&E Elkhorn Battery System in Moss Landing (which features Tesla batteries). It is unclear if Tesla intended for the interior to be photographed at the event (given the unfinished nature of the finishes).

The center display shows the new Model X (which may be the basis for the prototype’s systems).

The interior in this prototype certainly deviates from the initial renderings distributed by Tesla during the Cybertruck’s initial launch.

Instead of a center seat, a console is clearly visible. In addition, the appearance of an instrument cluster brings about the exciting possibility that the Cybertruck may feature dual displays, similar to the new Model X.

The Cybertruck is anticipated to be released in 2023.

While unprotected left turns can be nerve-wracking for novice drivers, many FSD Beta participants still experience anxiety when their car is faced with such a turn.

Unprotected left turns are one of the harder driving maneuvers to make for humans and AI, as they leave your vehicle vulnerable while turning (instead of turning with traffic).

Tesla quickly recognized the difficulties their AI was experiencing in safely executing these turns and has been working diligently to improve the AI’s ability to discern oncoming hazards.

FSD Beta 10.12 improved unprotected left turn issues, but there are still some lingering issues.

Chuck Cook (@Chazman) has been iteratively testing FSD Beta's ability to make unprotected left turns on a busy route.

It's a complicated turn that involved crossing three lanes of traffic before reaching the median and then turning left.

10.13 will solve your left turn most of the time

Often it involves crossing the three lanes and waiting at the median before finding enough clearance to get into a lane.

It's complicated, even for humans. However, Elon Musk said in a recent tweet that beta 10.13 would solve Chuck's complicated left turns 'most of the time.'

Elon also added that 10.13 would "smooth out intersection control," hopefully reducing the vehicle's hesitation and steering jerkiness that can happen in busy intersections.

In addition to unprotected left turns, traffic circle/roundabout navigation has become a focus of FSD engineers.

While popular abroad, roundabouts are seldomly used in the US. Although there are estimated to be 2600+ roundabouts across the country, so FSD Beta needs to be able to handle them well.

FSD Beta's navigation of roundabouts has been spotty, although one could argue that multi-lane roundabouts are challenging even for experienced drivers.

With FSD Beta 10.13, Musk says that Tesla is going 'deep on roundabouts,' and that it should be noticeably better in that iteration of FSD Beta.

There are certainly some complicated roundabouts out there that can challenge even the most skilled drivers. Some roundabouts include multiple lanes and may require you to change lanes within the roundabout, some may even include roundabouts leading into or out of the roundabout, such as the 'Magic Roundabout' in Swindon, England.

Musk also hinted at another major improvement that may be included in 10.13: the ability for FSD beta to navigate roads with no map data.

The vehicle will be able to navigate to a specific GPS point or pinned location (ex: rural roads), says Musk.

In addition, Elon alluded to the fact that Tesla is also working on the AI’s ability to complete 'dead reckoning' navigation (navigating only on “inertial measurements, wheel movement & vision”).

He gave underground parking garages as an example of where FSD would need this ability to navigate without GPS or map data.

The car will be able to do this by using its last known GPS location and then determining its future location using only a compass, wheel movement and speed.

Yes, car will navigate to a pin location, even if in a complex surface parking lot or hotel entrance. When in covered or underground parking lots, car will have to navigate using only inertial measurement, wheel movement & vision, as GPS signal is no longer available.

Elon said that he expects FSD Beta 10.13 to be available in about two weeks.

Why is it always two weeks? Tesla may use an agile approach to software development. In agile development work is planned in 'sprints' that span one or more weeks, with two weeks being a common length.

It's possible Tesla uses two-week sprints when planning and developing upcoming features.

For drivers that have experienced the intense nature of FSD left turns through busy intersections, it looks like they won’t have to wait long for FSD Beta 10.13.

Earlier this year, The National Highway Transportation Safety Administration (NHTSA) launched an investigation into Tesla's “phantom braking” issue, which occurs when the vehicle slows down suddenly.

In February, the NHTSA stated that “the rapid deceleration can occur without warning, at random, and often repeatedly in a single drive cycle.” The issue is particularly concerning on highways where sudden braking could result in a rear-end collision.

Since then, the NHTSA has formally upgraded its preliminary investigation to an “Engineering Analysis,” which is conducted before the agency determines a recall. Regulators will assess 830,000 vehicles after several of the automaker’s cars collided with stopped emergency vehicles while autopilot was engaged.

Tesla’s autopilot feature is designed to help drivers navigate roads using a combination of cameras and artificial intelligence to detect other vehicles, pedestrians, stop lights, and more. Tesla instructs drivers to pay attention to the road and keep their hands on the steering wheel while using Autopilot.

Over the past four years, 16 Autopilot-engaged Teslas have crashed into parked first-responder vehicles, resulting in 15 injuries and one death. According to forensic data, most drivers had their hands on the steering wheel before impact, in compliance with Tesla's instructions.

In this investigation, regulators will determine whether or not Tesla's Autopilot feature undermines “the effectiveness of driver’s supervision.”

“The investigation will assess the technologies and methods used to monitor, assist, and enforce the driver’s engagement with the dynamic driving task during Autopilot operation,” the NHTSA said.

This investigation affects about 830,000 Tesla vehicles which were built after 2014. Tesla launched its Autopilot feature that year and later transitioned to its own Autopilot hardware in 2016 after ending its partnership with MobileEye.

Tesla has yet to respond to the escalated investigation into its autopilot feature.

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